Xin Zhang

186 papers receiving 2.3k citations

Peers

Xin Zhang
Comparison fields: 5 of 173
  • Modeling and Simulation 131
  • Media Technology 234
  • Global and Planetary Change 530
  • Environmental Engineering 332
  • Water Science and Technology 242
Replace Fenzhen Su with:
Fenzhen Su China
Xiaoli Liu China
Xinqi Zheng China
Maria Antonia Brovelli Italy
Budhendra Bhaduri United States
Lei Zou China
Min Chen China
Chengbin Deng United States
Beniamino Murgante Italy
Xin Zhang relative to Fenzhen Su China Fenzhen Su's profile →
Citations per field
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Fenzhen Su · 1×
Citations per year

Countries citing papers authored by Xin Zhang

Since Specialization
Citations

This map shows the geographic impact of Xin Zhang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xin Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Zhang more than expected).

Fields of papers citing papers by Xin Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xin Zhang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xin Zhang. The network helps show where Xin Zhang may publish in the future.

Co-authors

The 25 scholars most cited alongside Xin Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xin Zhang Line = papers co-authored together Xin Zhang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 215 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020185
2 2017170
3 201199
4 201993
5 201367
6 202264
7 201960
8 202153
9 202146
10 202145
11 201939
12 202238
13 202238
14 201835
15 201835
16 201732
17 202329
18 202129
19 201828
20 202327

About Xin Zhang

Xin Zhang is a scholar working on Global and Planetary Change, Ecology, Electrical and Electronic Engineering, Artificial Intelligence and Atmospheric Science, having authored 215 papers that have together received 2.4k indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (25 papers), Remote Sensing in Agriculture (23 papers), Remote Sensing and Land Use (12 papers), Remote-Sensing Image Classification (12 papers), Coastal wetland ecosystem dynamics (9 papers), Indoor and Outdoor Localization Technologies (9 papers), Advanced Computational Techniques and Applications (8 papers) and Hydrology and Watershed Management Studies (7 papers). The work is most often cited by research in Modeling and Simulation (131 citations), Media Technology (234 citations), Global and Planetary Change (530 citations), Environmental Engineering (332 citations) and Water Science and Technology (242 citations). Xin Zhang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Weisheng Wang, Changming Zhu, Yanan Zhou, Lin Zhou, Adrian Perrig, Hsu‐Chun Hsiao, Yuqi Liu, Jiancheng Luo, Haowen Chan and David G. Andersen. Their work appears in journals such as Remote Sensing, The Science of The Total Environment, International Journal of Environmental Research and Public Health, Sensors and International journal of agricultural and biological engineering.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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